Enhancing knee osteoarthritis diagnosis with DMS: a novel dense multi-scale convolutional neural network approach.

Journal: Journal of orthopaedic surgery and research
Published Date: Dec 19, 2024

Abstract

BACKGROUND: Osteoarthritis (OA) of the knee is a prevalent chronic degenerative joint condition that is having a growing impact on a global scale., posing a challenge in diagnosis which is often reliant on time-consuming and error-prone visual analysis by physicians. There is a critical need for an automated, efficient, and accurate diagnostic method to improve early detection and treatment.

Authors

  • Di Zhang
    College of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
  • Yuting Dong
    School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Yao Xu
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Junhui Qian
    Department of Tuina, Hospital of Chengdu of Traditional Chinese Medicine, Chengdu, China.
  • Miaoyu Ye
    School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Qiang Yuan
    Department of Tuina, Hospital of Chengdu of Traditional Chinese Medicine, Chengdu, China.
  • Jian Luo
    School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.

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